摘要
以巢湖水质为研究对象,设计和开发了基于SSM的轻量级水质在线监测系统,对巢湖水中的总磷、氨氮等9种成分数据进行采集、传输和预测分析。在监测系统中,智能传感器通过现场总线协议Modbus将采集的数据发到监测站,监测站再将数据通过TCP/IP协议传送到系统主机,基于Vue的系统主机对数据进行分析处理后,在网页上实时展示。基于SSM框架构建水质监测系统降低了开发难度,系统稳定可靠,实现了设计目标。
Taking the water quality of Chaohu Lake as the research object, a lightweight online water quality monitoring system based on SSM was designed and developed to collect, transmit and prediction analyze the data of9 components such as total phosphorus and ammonia nitrogen in water of Chaohu Lake. In the monitoring system, the intelligent sensor sent the collected information to the monitoring station through the field bus protocol Modbus, the monitoring station sent the information to the system host through TCP/IP protocol, and the system host based on Vue analyzed and processed the data, also displayed it on the web page. The water quality monitoring system based on SSM structure reduced the development difficulty, the system was stable and reliable, and the design goal was achieved.
作者
黄子扬
祝奕炜
沈信宇
慕京生
焦俊
HUANG Ziyang;ZHU Yiwei;SHEN Xinyu;MU Jingsheng;JIAO Jun(School of Information and Computer,Anhui Agricultural University,Hefei Anhui 230036;Mengcheng Jing Hui Meng Agricultural Science and Technology Development Co.,Ltd.,Mengcheng Anhui 233524)
出处
《现代农业科技》
2022年第5期129-135,共7页
Modern Agricultural Science and Technology
基金
安徽省科技重大专项(201903a06020009)。
